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Where Stats and Rights Thrive Together
Truth and Reconciliation Commission of Perú, Final Report – General Conclusions.
Truth and Reconciliation Commission of Perú, Final Report – General Conclusions. Comisión de la verdad y reconciliación, 2003.
The ‘Dirty War Index’ and the Real World of Armed Conflict.
Amelia Hoover, Romesh Silva, Tamy Guberek, and Daniel Guzmán. “The ‘Dirty War Index’ and the Real World of Armed Conflict.” May 23, 2009. © 2009 HRDAG. Creative Commons BY-NC-SA.
Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).
Daniel R. Guzmán, Tamy Guberek, Gary M. Shapiro, Paul Zador (2009). “Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.
Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis
Romesh Silva, Jasmine Marwaha and Jeff Klingner. “Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis,” A Joint Report by Benetech’s Human Rights Data Analysis Group & Ensaaf, Inc. January, 2009.
Full Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic
Price, Megan, Jeff Klingner, Anas Qtiesh, and Patrick Ball. 2013. Commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). Human Rights Data Analysis Group (June 13). © 2013 HRDAG. Creative Commons BY-NC-SA. [pdf via UN]
To Count the Uncounted: An Estimation of Lethal Violence in Casanare,
Tamy Guberek, Daniel Guzmán, Megan Price, Kristian Lum and Patrick Ball, “To Count the Uncounted: An Estimation of Lethal Violence in Casanare,” A Report by the Benetech Human Rights Program. 10 February 2010. (Available in Spanish) © 2010 Benetech. Creative Commons BY-NC-SA.
Measuring lethal counterinsurgency violence in Amritsar District, India using a referral-based sampling technique
Romesh Silva, Jeff Klingner, and Scott Weikart. “Measuring lethal counterinsurgency violence in Amritsar District, India using a referral-based sampling technique.” In JSM Proceedings, Social Statistics Section. Alexandria, VA: American Statistical Association, 2010. © 201o JSM. All rights reserved.
Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia
Tamy Guberek, Daniel Guzmán, and Beatriz Vejarano. “Using Cemetery Information in the Search for the Disappeared: Lessons from a Pilot Study in Rionegro, Antioquia.” In Methodological Proposals for Documenting and Searching for Missing Persons in Colombia. (Available in Spanish) © 2010 EQUITAS. All rights reserved.
Big Data Predictive Analytics Comes to Academic and Nonprofit Institutions to Fuel Innovation
“Revolution Analytics will allow HRDAG to handle bigger data sets and leverage the power of R to accomplish this goal and uncover the truth.” Director of Research Megan Price is quoted
Happy Ada Lovelace Day!
Nonprofits Are Taking a Wide-Eyed Look at What Data Could Do
In this story about how data are transforming the nonprofit world, Patrick Ball is quoted. Here’s an excerpt: “Data can have a profound impact on certain problems, but nonprofits are kidding themselves if they think the data techniques used by corporations can be applied wholesale to social problems,” says Patrick Ball, head of the nonprofit Human Rights Data Analysis Group.
Companies, he says, maintain complete data sets. A business knows every product it made last year, when it sold, and to whom. Charities, he says, are a different story.
“If you’re looking at poverty or trafficking or homicide, we don’t have all the data, and we’re not going to,” he says. “That’s why these amazing techniques that the industry people have are great in industry, but they don’t actually generalize to our space very well.”
Why It Took So Long To Update the U.N.-Sponsored Syria Death Count
In this story, Carl Bialik of FiveThirtyEight interviews HRDAG executive director Patrick Ball about the process of de-duplication, integration of databases, and machine-learning in the recent enumeration of reported casualties in Syria.
New reports of old deaths come in all the time, Ball said, making it tough to maintain a database. The duplicate-removal process means “it’s a lot like redoing the whole project each time,” he said.
PredPol amplifies racially biased policing
HRDAG associate William Isaac is quoted in this article about how predictive policing algorithms such as PredPol exacerbate the problem of racial bias in policing.
What we’ll need to find the true COVID-19 death toll
From the article: “Intentionally inconsistent tracking can also influence the final tally, notes Megan Price, a statistician at the Human Rights Data Analysis Group. During the Iraq War, for example, officials worked to conceal mortality or to cherry pick existing data to steer the political narrative. While wars are handled differently from pandemics, Price thinks the COVID-19 data could still be at risk of this kind of manipulation.”